Oracle is expanding its Fusion Data Intelligence platform with new AI agents, operational analytics, and application integrations designed to help enterprises turn business data into actionable insights and automated workflows.
Announced at Oracle AI World in Las Vegas, the updates extend Oracle’s existing analytics capabilities across finance, supply chain, human resources, and customer operations. The company is positioning trusted business data and contextual reasoning as critical foundations for enterprise AI adoption.
For channel partners, the expansion signals opportunities around data integration, application modernization, and helping customers deploy AI agents within existing business processes.
Oracle adds Deep Insight Agents and conversational analytics
Central to the announcement are two new AI capabilities: Fusion Data Intelligence Data Agents and Deep Insight Agents.
Data Agents allow business users to ask natural-language questions about governed enterprise data directly within their existing analytics dashboards. Rather than navigating multiple reports, users can investigate performance metrics in a conversational way.
Deep Insight Agents go further, examining complex business questions by combining semantic reasoning, business definitions, organizational relationships, and approved analytical methods. The agents are designed to investigate performance drivers, evaluate broader business impacts, and compare potential responses.
“AI is only as useful as its understanding of your business. Access to data isn’t enough; it needs the business context to interpret what that data means, how different parts of the organization connect, and what drives performance,” said Srikant Gokulnatha, senior vice president at Oracle.
The company is also integrating Fusion Data Intelligence insights into Fusion AI Agents and agentic applications, allowing users to move from analyzing information toward executing workflows within Oracle Fusion Applications.
The distinction is important: Oracle is attempting to connect AI-generated insights directly to operational decisions rather than treating analytics and automation as separate functions.
Operational analytics connects enterprise applications
Oracle also introduced Fusion Data Intelligence Operational Analytics, combining transactional reporting with analytical insights across business functions.
The capability is designed to help organizations identify operational changes, understand their implications, and respond without switching between reporting environments.
Additional integrations target enterprise finance and application modernization.
A new connection between Oracle Fusion Cloud Enterprise Performance Management and Enterprise Resource Planning allows finance teams to analyze budgets, forecasts, and actual financial performance together.
Meanwhile, Fusion Data Intelligence for Oracle E-Business Suite supports organizations transitioning to Fusion Applications, providing analytics across legacy and cloud environments.
Oracle is also expanding availability for eligible government customers operating in supported FedRAMP-authorized cloud environments.
Data Agents, E-Business Suite Data Intelligence, and the government offering are generally available. Operational Analytics has limited availability, while Deep Insight Agents are expected to become generally available within the next 12 months.
What Oracle’s AI expansion means for channel partners
For systems integrators and enterprise technology consultants, Oracle’s expansion creates potential opportunities in data integration, application modernization, and AI governance.
Partners supporting Oracle E-Business Suite migrations could also help customers maintain reporting continuity as they transition to cloud applications.
As AI agents become more embedded in enterprise workflows, partners will play a role in ensuring data quality, managing permissions, and measuring whether these deployments deliver meaningful business results.
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